<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: martingoodson</title><link>https://news.ycombinator.com/user?id=martingoodson</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Thu, 18 Jun 2026 10:44:19 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=martingoodson" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by martingoodson in "How to make buffet breakfasts less wasteful"]]></title><description><![CDATA[
<p>"Conclusions: This meta-analysis confirmed that skipping breakfast is associated with overweight/obesity, and skipping breakfast increases the risk of overweight/obesity. The results of cohort studies and cross-sectional studies are consistent. There is no significant difference in these results among different ages, gender, regions, and economic conditions."<p><a href="https://pubmed.ncbi.nlm.nih.gov/31918985/" rel="nofollow">https://pubmed.ncbi.nlm.nih.gov/31918985/</a></p>
]]></description><pubDate>Fri, 17 Apr 2026 09:06:49 +0000</pubDate><link>https://news.ycombinator.com/item?id=47803925</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=47803925</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47803925</guid></item><item><title><![CDATA[New comment by martingoodson in "Ordinary Lab Gloves May Have Skewed Microplastic Data"]]></title><description><![CDATA[
<p>People seem to be misunderstanding this paper. It doesn't claim that any previous papers have overestimated contamination. That would only happen if scientists didn't routinely use blanks as a comparison, which they do. 
E.g. "A procedural filter blank was created during each sample batch and analysed alongside the samples, to enumerate potential contamination that could have been introduced during the extraction process."<p><a href="https://eprints.soton.ac.uk/476076/1/1_s2.0_S0147651323002865_main.pdf" rel="nofollow">https://eprints.soton.ac.uk/476076/1/1_s2.0_S014765132300286...</a></p>
]]></description><pubDate>Wed, 01 Apr 2026 08:16:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=47598242</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=47598242</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47598242</guid></item><item><title><![CDATA[New comment by martingoodson in "People say they prefer stories written by humans over AI, study says otherwise"]]></title><description><![CDATA[
<p>Title needs to be changed. It completely misrepresents this research. There was no comparison between human written and AI written stories.</p>
]]></description><pubDate>Thu, 27 Mar 2025 16:25:47 +0000</pubDate><link>https://news.ycombinator.com/item?id=43495239</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=43495239</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43495239</guid></item><item><title><![CDATA[New comment by martingoodson in "Crossing the uncanny valley of conversational voice"]]></title><description><![CDATA[
<p>Honestly, I think if I wasn't there, she still would have loved it. She related to it like a person.</p>
]]></description><pubDate>Sun, 02 Mar 2025 11:42:46 +0000</pubDate><link>https://news.ycombinator.com/item?id=43229441</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=43229441</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43229441</guid></item><item><title><![CDATA[New comment by martingoodson in "Crossing the uncanny valley of conversational voice"]]></title><description><![CDATA[
<p>I played with this last night with my four-year old daughter. We had fun with asking Miles to explain what bones are made of etc.<p>Today, she asked "where has that robot guy gone?". Crying now because I won't let her talk to Miles anymore.<p>She has already developed an emotional connection to it. Worrying indeed.</p>
]]></description><pubDate>Sun, 02 Mar 2025 10:44:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=43229168</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=43229168</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43229168</guid></item><item><title><![CDATA[What books should a junior programmer read?]]></title><description><![CDATA[
<p>When I started out the books to read were clear: code complete, design patterns, refactoring etc.<p>Now it's not so obvious. Am I just out of the loop or are equivalent books no longer being written?</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=43056766">https://news.ycombinator.com/item?id=43056766</a></p>
<p>Points: 1</p>
<p># Comments: 1</p>
]]></description><pubDate>Sat, 15 Feb 2025 08:02:17 +0000</pubDate><link>https://news.ycombinator.com/item?id=43056766</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=43056766</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43056766</guid></item><item><title><![CDATA[New comment by martingoodson in "Why LLMs still have problems with OCR"]]></title><description><![CDATA[
<p>Written by someone who knows what they are talking about.</p>
]]></description><pubDate>Sat, 08 Feb 2025 11:32:03 +0000</pubDate><link>https://news.ycombinator.com/item?id=42982243</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=42982243</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42982243</guid></item><item><title><![CDATA[New comment by martingoodson in "Why LLMs still have problems with OCR"]]></title><description><![CDATA[
<p>I've worked in data extraction from documents for a decade and have developed algorithms in the space. I've developed a product using LLMs for this purpose too.<p>This article is essentially correct.</p>
]]></description><pubDate>Sat, 08 Feb 2025 09:15:29 +0000</pubDate><link>https://news.ycombinator.com/item?id=42981650</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=42981650</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42981650</guid></item><item><title><![CDATA[New comment by martingoodson in "Ingesting PDFs and why Gemini 2.0 changes everything"]]></title><description><![CDATA[
<p>I work in financial data and our customers would not accept 96% accuracy in the data points we supply. Maybe 99.96%.<p>For most use cases in financial services, accurate data is very important.</p>
]]></description><pubDate>Thu, 06 Feb 2025 10:39:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=42961030</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=42961030</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42961030</guid></item><item><title><![CDATA[New comment by martingoodson in "A new type of neural network is more interpretable"]]></title><description><![CDATA[
<p>We hosted Ziming Liu at the London Machine Learning Meetup a few weeks ago. He gave a great talk on this fascinating work.<p>Here's the recording <a href="https://youtu.be/FYYZZVV5vlY?si=ReoygVJMgY9oje3p" rel="nofollow">https://youtu.be/FYYZZVV5vlY?si=ReoygVJMgY9oje3p</a></p>
]]></description><pubDate>Tue, 06 Aug 2024 07:42:59 +0000</pubDate><link>https://news.ycombinator.com/item?id=41168659</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=41168659</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41168659</guid></item><item><title><![CDATA[New comment by martingoodson in "Meta AI releases Code Llama 70B"]]></title><description><![CDATA[
<p>Baptiste Roziere gave a great talk about Code Llama at our meetup recently: <a href="https://m.youtube.com/watch?v=_mhMi-7ONWQ" rel="nofollow">https://m.youtube.com/watch?v=_mhMi-7ONWQ</a><p>I highly recommend watching it.</p>
]]></description><pubDate>Mon, 29 Jan 2024 19:24:40 +0000</pubDate><link>https://news.ycombinator.com/item?id=39181122</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=39181122</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=39181122</guid></item><item><title><![CDATA[Art of the Essay: Recommended Texts and Resources]]></title><description><![CDATA[
<p>Article URL: <a href="https://web.stanford.edu/~jonahw/AOE-SM10/AOE-Books.htm">https://web.stanford.edu/~jonahw/AOE-SM10/AOE-Books.htm</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=38766472">https://news.ycombinator.com/item?id=38766472</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 25 Dec 2023 21:51:06 +0000</pubDate><link>https://web.stanford.edu/~jonahw/AOE-SM10/AOE-Books.htm</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=38766472</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38766472</guid></item><item><title><![CDATA[New comment by martingoodson in "EU strikes deal to regulate ChatGPT, AI tech"]]></title><description><![CDATA[
<p>Do you have any reference for this claim, or are you guessing? It was reported that the algorithm was a Gradient Boosting Machine by investigators who gained access to the code.<p><a href="https://www.lighthousereports.com/suspicion-machines-methodology/" rel="nofollow noreferrer">https://www.lighthousereports.com/suspicion-machines-methodo...</a></p>
]]></description><pubDate>Sat, 09 Dec 2023 18:03:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=38584081</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=38584081</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38584081</guid></item><item><title><![CDATA[New comment by martingoodson in "Understanding Deep Learning"]]></title><description><![CDATA[
<p>I think because it's a relatively 'younger' field, there is a bit more need to know about the foundations in AI than in programming. You hit the perimeters a bit more often and need to do a bit of research to modify or create a model.<p>Whereas it's unlikely in most programming jobs you would need to do any research into programming language design.</p>
]]></description><pubDate>Mon, 27 Nov 2023 13:22:40 +0000</pubDate><link>https://news.ycombinator.com/item?id=38431983</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=38431983</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38431983</guid></item><item><title><![CDATA[New comment by martingoodson in "Understanding Deep Learning"]]></title><description><![CDATA[
<p>Not at all. It's something I've seen in practice over many years. Neither skill set is 'better' than the other, just different.<p>There is a need for people who are able to build using available tools, but who don't have an interest in the theory or foundations of the field. It's a valuable mindset and nothing in my original comment suggested otherwise.<p>It's also pretty clear that many comments on this post divide into the two mindsets I've described.</p>
]]></description><pubDate>Mon, 27 Nov 2023 13:13:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=38431912</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=38431912</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38431912</guid></item><item><title><![CDATA[New comment by martingoodson in "Understanding Deep Learning"]]></title><description><![CDATA[
<p>Most comments here are in one of two camps: 1) you don't need to know any of this stuff, you can make AI systems without this knowledge, or 2) you need this foundational knowledge to really understand what's going on.<p>Both perspectives are correct.  The field is bifurcating into two different skill sets: ML engineer and ML scientist (or researcher).<p>It's great to have both types on a team. The scientists will be too slow; the engineers will bound ahead trying out various APIs and open-source models. But when they hit a roadblock or need to adapt an algorithm many engineers will stumble. They need an R&D mindset that is quite alien to many of them.<p>This is when an AI scientists become essential.</p>
]]></description><pubDate>Mon, 27 Nov 2023 07:57:04 +0000</pubDate><link>https://news.ycombinator.com/item?id=38429367</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=38429367</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38429367</guid></item><item><title><![CDATA[New comment by martingoodson in "We have reached an agreement in principle for Sam to return to OpenAI as CEO"]]></title><description><![CDATA[
<p>It's not about critical thinking: the employees were about to sell up to $1B of shares to thrive capital. This debacle has derailed that.</p>
]]></description><pubDate>Wed, 22 Nov 2023 11:49:45 +0000</pubDate><link>https://news.ycombinator.com/item?id=38377978</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=38377978</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38377978</guid></item><item><title><![CDATA[An AI for Humanity]]></title><description><![CDATA[
<p>Article URL: <a href="https://rssdsaisection.substack.com/p/an-ai-for-humanity">https://rssdsaisection.substack.com/p/an-ai-for-humanity</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=37964888">https://news.ycombinator.com/item?id=37964888</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Sat, 21 Oct 2023 07:43:46 +0000</pubDate><link>https://rssdsaisection.substack.com/p/an-ai-for-humanity</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=37964888</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=37964888</guid></item><item><title><![CDATA[New comment by martingoodson in "Outperforming larger language models with less training data and smaller models"]]></title><description><![CDATA[
<p>Sorry! Here's the paper <a href="https://arxiv.org/abs/2307.10169" rel="nofollow noreferrer">https://arxiv.org/abs/2307.10169</a></p>
]]></description><pubDate>Fri, 22 Sep 2023 23:36:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=37619152</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=37619152</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=37619152</guid></item><item><title><![CDATA[New comment by martingoodson in "Outperforming larger language models with less training data and smaller models"]]></title><description><![CDATA[
<p>We discussed this at our meetup last night. See here for paper reference and subscribe to get an alert when the recording is uploaded: <a href="https://www.meetup.com/london-machine-learning-meetup/events/295928138/" rel="nofollow noreferrer">https://www.meetup.com/london-machine-learning-meetup/events...</a></p>
]]></description><pubDate>Fri, 22 Sep 2023 13:48:29 +0000</pubDate><link>https://news.ycombinator.com/item?id=37612028</link><dc:creator>martingoodson</dc:creator><comments>https://news.ycombinator.com/item?id=37612028</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=37612028</guid></item></channel></rss>